Triple
T18482631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever in a Day |
E451598
|
entity |
| Predicate | salesFirstWeekUS |
P64787
|
FINISHED |
| Object | 113000 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 113000 | Statement: [Forever in a Day, salesFirstWeekUS, 113000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salesFirstWeekUS Context triple: [Forever in a Day, salesFirstWeekUS, 113000]
-
A.
debutWeekSalesUS
chosen
Indicates the number of units sold in the United States during the first week after a product’s debut or release.
-
B.
firstWeekStreamsUS
Indicates the number of times something was streamed in the United States during its first week of availability.
-
C.
debutAlbumFirstWeekSales
Indicates the number of units sold in the first week after an artist’s debut album is released.
-
D.
salesUS
Indicates a relationship where sales activity, revenue, or transactions are specifically associated with the United States.
-
E.
selloutStreak
Indicates a recurring pattern or sequence of events in which something (such as a venue, product, or performance) repeatedly reaches full capacity or sells out.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.